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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M9S8RS
Repositorysid.inpe.br/sibgrapi/2016/08.18.01.07
Last Update2016:08.18.01.07.56 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.18.01.07.57
Metadata Last Update2022:05.18.22.21.08 (UTC) administrator
Citation KeyMachadoRodr:2016:FrDiSw
TitleTexture analysis using complex system models: fractal dimension, swarm systems and non-linear diffusion
FormatOn-line
Year2016
Access Date2024, Apr. 29
Number of Files1
Size1229 KiB
2. Context
Author1 Machado, Bruno Brandoli
2 Rodrigues Jr, Jose F
Affiliation1 Instituto de Ciências Matemáticas e Computacional, Universidade de São Paulo
2 Instituto de Ciências Matemáticas e Computacional, Universidade de São Paulo
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressbrunobrandoli@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2016-08-18 01:07:57 :: brunobrandoli@gmail.com -> administrator ::
2022-05-18 22:21:08 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsexture analysis
fractal dimension
swarm system
non-linear diffusion
complex networks
AbstractTexture is one of the primary visual attributes used to describe patterns found in nature. Several texture analysis methods have been used as powerful tools for real applications involving computer vision. However, existing methods do not successfully discriminate the complexity of texture patterns. Such methods disregard the possibility of describing image structures by fractal dimension. Fractality-based measures allow a non- integer geometric interpretation with applications in areas such as mathematics, physics, and biology. The central hypothesis of this work is that textures can be described as irregular fractal surfaces due to their complex geometry. Pushing the limits of the state-of-the-art, the results achieved in the four methodologies described in this work demonstrated the potential of using texture features in tasks of pattern recognition. The contributions of this work shall support significant advances in materials engineering, computer vision, and agriculture.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Texture analysis using...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M9S8RS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M9S8RS
Languageen
Target Filearticle.pdf
User Groupbrunobrandoli@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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